WANGXinyiLinda / concept-based-demonstration-selectionLinks
Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
☆75Updated last year
Alternatives and similar repositories for concept-based-demonstration-selection
Users that are interested in concept-based-demonstration-selection are comparing it to the libraries listed below
Sorting:
- Methods and evaluation for aligning language models temporally☆29Updated last year
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 8 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆74Updated 10 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- ☆100Updated last year
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆60Updated 2 years ago
- Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"☆171Updated last year
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆22Updated 11 months ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆102Updated 2 years ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆44Updated 3 years ago
- ☆176Updated last year
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆31Updated 7 months ago
- Active Example Selection for In-Context Learning (EMNLP'22)☆49Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆79Updated 8 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- ☆53Updated last year
- ☆44Updated last year
- ☆88Updated 2 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆102Updated 2 years ago
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆27Updated 2 years ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆96Updated 4 years ago
- ☆63Updated 2 years ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆47Updated 10 months ago
- Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…☆37Updated 2 years ago
- ☆46Updated 2 years ago
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆108Updated last year
- ☆23Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year